Consideration of multi-state generating unit models in composite system adequacy assessment using Monte Carlo simulation

Presents a Monte Carlo method for reliability evaluation of large-scale composite generation-transmission systems. The method is based on combining the basic random sampling technique with a direct analytical approach for system analysis, and the utilization of a minimization model for load curtailment. The technique is particularly suited to simulating large-scale systems and multiple states of generating units. Many utilities are now using multi-state models to assess capacity adequacy. The utilization of multi-state models in a composite generation and transmission study can create considerable computational difficulties when a conventional contingency enumeration approach is used. The Monte Carlo method can be used to assess the effects of multi-state modelling in composite system adequacy assessment. The technique is illustrated by application to two test systems in order to demonstrate the effectiveness of the method.